__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
img (InputLayer) (None, 288, 288, 3) 0
__________________________________________________________________________________________________
conv2d_1 (Conv2D) (None, 288, 288, 32) 896 img[0][0]
__________________________________________________________________________________________________
batch_normalization_1 (BatchNor (None, 288, 288, 32) 128 conv2d_1[0][0]
__________________________________________________________________________________________________
activation_1 (Activation) (None, 288, 288, 32) 0 batch_normalization_1[0][0]
__________________________________________________________________________________________________
conv2d_2 (Conv2D) (None, 288, 288, 32) 9248 activation_1[0][0]
__________________________________________________________________________________________________
batch_normalization_2 (BatchNor (None, 288, 288, 32) 128 conv2d_2[0][0]
__________________________________________________________________________________________________
activation_2 (Activation) (None, 288, 288, 32) 0 batch_normalization_2[0][0]
__________________________________________________________________________________________________
max_pooling2d_1 (MaxPooling2D) (None, 144, 144, 32) 0 activation_2[0][0]
__________________________________________________________________________________________________
dropout_1 (Dropout) (None, 144, 144, 32) 0 max_pooling2d_1[0][0]
__________________________________________________________________________________________________
conv2d_3 (Conv2D) (None, 144, 144, 64) 18496 dropout_1[0][0]
__________________________________________________________________________________________________
batch_normalization_3 (BatchNor (None, 144, 144, 64) 256 conv2d_3[0][0]
__________________________________________________________________________________________________
activation_3 (Activation) (None, 144, 144, 64) 0 batch_normalization_3[0][0]
__________________________________________________________________________________________________
conv2d_4 (Conv2D) (None, 144, 144, 64) 36928 activation_3[0][0]
__________________________________________________________________________________________________
batch_normalization_4 (BatchNor (None, 144, 144, 64) 256 conv2d_4[0][0]
__________________________________________________________________________________________________
activation_4 (Activation) (None, 144, 144, 64) 0 batch_normalization_4[0][0]
__________________________________________________________________________________________________
max_pooling2d_2 (MaxPooling2D) (None, 72, 72, 64) 0 activation_4[0][0]
__________________________________________________________________________________________________
dropout_2 (Dropout) (None, 72, 72, 64) 0 max_pooling2d_2[0][0]
__________________________________________________________________________________________________
conv2d_5 (Conv2D) (None, 72, 72, 128) 73856 dropout_2[0][0]
__________________________________________________________________________________________________
batch_normalization_5 (BatchNor (None, 72, 72, 128) 512 conv2d_5[0][0]
__________________________________________________________________________________________________
activation_5 (Activation) (None, 72, 72, 128) 0 batch_normalization_5[0][0]
__________________________________________________________________________________________________
conv2d_6 (Conv2D) (None, 72, 72, 128) 147584 activation_5[0][0]
__________________________________________________________________________________________________
batch_normalization_6 (BatchNor (None, 72, 72, 128) 512 conv2d_6[0][0]
__________________________________________________________________________________________________
activation_6 (Activation) (None, 72, 72, 128) 0 batch_normalization_6[0][0]
__________________________________________________________________________________________________
max_pooling2d_3 (MaxPooling2D) (None, 36, 36, 128) 0 activation_6[0][0]
__________________________________________________________________________________________________
dropout_3 (Dropout) (None, 36, 36, 128) 0 max_pooling2d_3[0][0]
__________________________________________________________________________________________________
conv2d_7 (Conv2D) (None, 36, 36, 256) 295168 dropout_3[0][0]
__________________________________________________________________________________________________
batch_normalization_7 (BatchNor (None, 36, 36, 256) 1024 conv2d_7[0][0]
__________________________________________________________________________________________________
activation_7 (Activation) (None, 36, 36, 256) 0 batch_normalization_7[0][0]
__________________________________________________________________________________________________
conv2d_8 (Conv2D) (None, 36, 36, 256) 590080 activation_7[0][0]
__________________________________________________________________________________________________
batch_normalization_8 (BatchNor (None, 36, 36, 256) 1024 conv2d_8[0][0]
__________________________________________________________________________________________________
activation_8 (Activation) (None, 36, 36, 256) 0 batch_normalization_8[0][0]
__________________________________________________________________________________________________
max_pooling2d_4 (MaxPooling2D) (None, 18, 18, 256) 0 activation_8[0][0]
__________________________________________________________________________________________________
dropout_4 (Dropout) (None, 18, 18, 256) 0 max_pooling2d_4[0][0]
__________________________________________________________________________________________________
conv2d_9 (Conv2D) (None, 18, 18, 512) 1180160 dropout_4[0][0]
__________________________________________________________________________________________________
batch_normalization_9 (BatchNor (None, 18, 18, 512) 2048 conv2d_9[0][0]
__________________________________________________________________________________________________
activation_9 (Activation) (None, 18, 18, 512) 0 batch_normalization_9[0][0]
__________________________________________________________________________________________________
conv2d_10 (Conv2D) (None, 18, 18, 512) 2359808 activation_9[0][0]
__________________________________________________________________________________________________
batch_normalization_10 (BatchNo (None, 18, 18, 512) 2048 conv2d_10[0][0]
__________________________________________________________________________________________________
activation_10 (Activation) (None, 18, 18, 512) 0 batch_normalization_10[0][0]
__________________________________________________________________________________________________
conv2d_transpose_1 (Conv2DTrans (None, 36, 36, 256) 1179904 activation_10[0][0]
__________________________________________________________________________________________________
concatenate_1 (Concatenate) (None, 36, 36, 512) 0 conv2d_transpose_1[0][0]
activation_8[0][0]
__________________________________________________________________________________________________
dropout_5 (Dropout) (None, 36, 36, 512) 0 concatenate_1[0][0]
__________________________________________________________________________________________________
conv2d_11 (Conv2D) (None, 36, 36, 256) 1179904 dropout_5[0][0]
__________________________________________________________________________________________________
batch_normalization_11 (BatchNo (None, 36, 36, 256) 1024 conv2d_11[0][0]
__________________________________________________________________________________________________
activation_11 (Activation) (None, 36, 36, 256) 0 batch_normalization_11[0][0]
__________________________________________________________________________________________________
conv2d_12 (Conv2D) (None, 36, 36, 256) 590080 activation_11[0][0]
__________________________________________________________________________________________________
batch_normalization_12 (BatchNo (None, 36, 36, 256) 1024 conv2d_12[0][0]
__________________________________________________________________________________________________
activation_12 (Activation) (None, 36, 36, 256) 0 batch_normalization_12[0][0]
__________________________________________________________________________________________________
conv2d_transpose_2 (Conv2DTrans (None, 72, 72, 128) 295040 activation_12[0][0]
__________________________________________________________________________________________________
concatenate_2 (Concatenate) (None, 72, 72, 256) 0 conv2d_transpose_2[0][0]
activation_6[0][0]
__________________________________________________________________________________________________
dropout_6 (Dropout) (None, 72, 72, 256) 0 concatenate_2[0][0]
__________________________________________________________________________________________________
conv2d_13 (Conv2D) (None, 72, 72, 128) 295040 dropout_6[0][0]
__________________________________________________________________________________________________
batch_normalization_13 (BatchNo (None, 72, 72, 128) 512 conv2d_13[0][0]
__________________________________________________________________________________________________
activation_13 (Activation) (None, 72, 72, 128) 0 batch_normalization_13[0][0]
__________________________________________________________________________________________________
conv2d_14 (Conv2D) (None, 72, 72, 128) 147584 activation_13[0][0]
__________________________________________________________________________________________________
batch_normalization_14 (BatchNo (None, 72, 72, 128) 512 conv2d_14[0][0]
__________________________________________________________________________________________________
activation_14 (Activation) (None, 72, 72, 128) 0 batch_normalization_14[0][0]
__________________________________________________________________________________________________
conv2d_transpose_3 (Conv2DTrans (None, 144, 144, 64) 73792 activation_14[0][0]
__________________________________________________________________________________________________
concatenate_3 (Concatenate) (None, 144, 144, 128 0 conv2d_transpose_3[0][0]
activation_4[0][0]
__________________________________________________________________________________________________
dropout_7 (Dropout) (None, 144, 144, 128 0 concatenate_3[0][0]
__________________________________________________________________________________________________
conv2d_15 (Conv2D) (None, 144, 144, 64) 73792 dropout_7[0][0]
__________________________________________________________________________________________________
batch_normalization_15 (BatchNo (None, 144, 144, 64) 256 conv2d_15[0][0]
__________________________________________________________________________________________________
activation_15 (Activation) (None, 144, 144, 64) 0 batch_normalization_15[0][0]
__________________________________________________________________________________________________
conv2d_16 (Conv2D) (None, 144, 144, 64) 36928 activation_15[0][0]
__________________________________________________________________________________________________
batch_normalization_16 (BatchNo (None, 144, 144, 64) 256 conv2d_16[0][0]
__________________________________________________________________________________________________
activation_16 (Activation) (None, 144, 144, 64) 0 batch_normalization_16[0][0]
__________________________________________________________________________________________________
conv2d_transpose_4 (Conv2DTrans (None, 288, 288, 32) 18464 activation_16[0][0]
__________________________________________________________________________________________________
concatenate_4 (Concatenate) (None, 288, 288, 64) 0 conv2d_transpose_4[0][0]
activation_2[0][0]
__________________________________________________________________________________________________
dropout_8 (Dropout) (None, 288, 288, 64) 0 concatenate_4[0][0]
__________________________________________________________________________________________________
conv2d_17 (Conv2D) (None, 288, 288, 32) 18464 dropout_8[0][0]
__________________________________________________________________________________________________
batch_normalization_17 (BatchNo (None, 288, 288, 32) 128 conv2d_17[0][0]
__________________________________________________________________________________________________
activation_17 (Activation) (None, 288, 288, 32) 0 batch_normalization_17[0][0]
__________________________________________________________________________________________________
conv2d_18 (Conv2D) (None, 288, 288, 32) 9248 activation_17[0][0]
__________________________________________________________________________________________________
batch_normalization_18 (BatchNo (None, 288, 288, 32) 128 conv2d_18[0][0]
__________________________________________________________________________________________________
activation_18 (Activation) (None, 288, 288, 32) 0 batch_normalization_18[0][0]
__________________________________________________________________________________________________
conv2d_19 (Conv2D) (None, 288, 288, 1) 33 activation_18[0][0]
==================================================================================================
Total params: 8,642,273
Trainable params: 8,636,385
Non-trainable params: 5,888
__________________________________________________________________________________________________